Joint Passive Detection and Tracking of Underwater Acoustic Target by Beamforming-Based Bernoulli Filter with Multiple Arrays [PDF]
Sensors, 2018 In this paper, improved Bernoulli filtering methods are developed to deal with the problem of joint passive detection and tracking of an underwater acoustic target with multiple arrays.
Zhongyue Chen, Wen Xu
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The Pairwise-Markov Bernoulli Filter [PDF]
IEEE Access, 2020 The Bernoulli filter is a general, Bayes-optimal solution for tracking a single disappearing and reappearing target, using a sensor whose observations are corrupted by missed detections and a general, known clutter process.
Ronald Mahler
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Bernoulli Filters for Multiple Correlated Sensors [PDF]
IEEE Access, 2021 The Bernoulli filter is a general, Bayes-optimal solution for tracking a single disappearing and reappearing target, using a single sensor whose observations are corrupted by missed detections and a general, known clutter process.
Ronald Mahler
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A Multisensor Multi-Bernoulli Filter [PDF]
IEEE Transactions on Signal Processing, 2017 In this paper we derive a multi-sensor multi-Bernoulli (MS-MeMBer) filter for multi-target tracking. Measurements from multiple sensors are employed by the proposed filter to update a set of tracks modeled as a multi-Bernoulli random finite set. An exact implementation of the MS-MeMBer update procedure is computationally intractable.
Augustin-Alexandru Saucan +2 more
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Robust Measurement-Driven Cardinality Balance Multi-Target Multi-Bernoulli Filter [PDF]
Sensors, 2021 The multi-target tracking filter under the Bayesian framework has strict requirements on the prior information of the target, such as detection probability density, clutter density, and target initial position information.
Biao Yang +4 more
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Joint Detection and DOA Tracking with a Bernoulli Filter Based on Information Theoretic Criteria [PDF]
Sensors, 2018 In this paper, we study the problem of the joint detection and direction-of-arrival (DOA) tracking of a single moving source which can randomly appear or disappear from the surveillance volume.
Guangpu Zhang +4 more
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A Multisource Multi-Bernoulli Filter for Multistatic Radar
IEEE Access, 2022 Compared with conventional monostatic or bistatic radar, multistatic radar has wider coverage, better performance of localization and higher tracking accuracy.
Xueqin Zhou, Hong Ma, Jiang Jin, Hang Xu
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Robust Poisson Multi-Bernoulli Filter With Unknown Clutter Rate
IEEE Access, 2019 In Bayesian multi-target tracking (MTT), knowledge of clutter intensity is required for effective multi-target state estimation. In this paper, we propose an online multi-target filter that can operate under background with unknown clutter intensity. Our
Weijian Si, Hongfan Zhu, Zhiyu Qu
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Data-Driven Clustering and Bernoulli Merging for the Poisson Multi-Bernoulli Mixture Filter
IEEE Transactions on Aerospace and Electronic Systems, 2023 17 pages, 11 figures, journal ...
Marco FONTANA +2 more
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Dim Range-Spread Target Detection for Stepped-Frequency Radar Using a Bernoulli Extended Target Filter [PDF]
SensorsStepped-frequency radar is an important high range resolution radar. It can achieve wide overall bandwidth with narrow instant bandwidth. When the signal-to-noise ratio is low, detection and tracking become challenging due to dense false alarms and the ...
Fei Cai, Meiyu Tang
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